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- W1968342354 abstract "Systems analysis was performed to develop knowledge-based control systems (KBS) for single stem roseproduction. System components and control strategies for the KBS were identified from the analysis. The control strategyfor daytime temperatures was derived by balancing the conflicting goals of rose production and costs of environmentalmodification. Nighttime temperature control strategy was determined through qualitative reasoning of the relationshipbetween the plants photosynthetic efficiency and respiratory energy metabolism. A fuzzy inference paradigm was appliedto facilitate system design. Two fuzzy inference systems (FIS) were designed to determine the daytime and nighttimegreenhouse set point temperatures. A set of experiments was conducted to obtain the information on dimensionalmeasurements of single stem rose (Rosa hybrida L., cv. Lady Diana) and the corresponding stem dry weight. An adaptiveneuro-fuzzy inference system (ANFIS) was devised that predicted the dry weight for single stem roses from simple nondestructivemeasurements. An on-line computational algorithm for greenhouse heating and ventilation costs wasdeveloped according to the daily energy consumption of each component of heating and ventilation equipment. Two setsof rule bases were derived for daytime and nighttime temperature settings." @default.
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- W1968342354 date "1998-01-01" @default.
- W1968342354 modified "2023-10-11" @default.
- W1968342354 title "KNOWLEDGE-BASED CONTROL SYSTEMS FOR SINGLE STEM ROSE PRODUCTION PART I: SYSTEMS ANALYSIS AND DESIGN" @default.
- W1968342354 doi "https://doi.org/10.13031/2013.17240" @default.
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